Denis Tverskoi

The paper detects power-law signatures of adaptive self-organization in swidden societies using remote sensing data and proposes a model explaining sustainable land-use patterns.

The paper develops a complex adaptive systems model of swidden agriculture showing that sustainable high-intensity swidden emerges from balanced labor reciprocity and normative reasoning.

This study shows that swidden agriculture can enhance vegetation diversity when disturbance is spatially configured in certain ways, rather than always causing degradation.